Hard-Constrained Deep Learning for Climate Downscaling

Hard-Constrained Deep Learning for Climate Downscaling

8 August 2022

Alex Hernandez-Garcia

Venkatesh Ramesh

Daniela Szwarcman

Papers citing "Hard-Constrained Deep Learning for Climate Downscaling"

5 / 5 papers shown

Title
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction Leander Kurscheidt Paolo Morettin Roberto Sebastiani Andrea Passerini Antonio Vergari 57 0 0 25 Mar 2025
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models P. Hess Markus Drüke S. Petri Felix M. Strnad Niklas Boers 38 60 0 03 Jan 2025
Generative Diffusion-based Downscaling for Climate Robbie A. Watt Laura A. Mansfield DiffM 35 3 0 27 Apr 2024
WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data Rupa Kurinchi-Vendhan Björn Lütjens Ritwik Gupta Lucien Werner Dava Newman 31 17 0 17 Sep 2021
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework C. Jiang S. Esmaeilzadeh Kamyar Azizzadenesheli K. Kashinath Mustafa A. Mustafa H. Tchelepi P. Marcus P. Prabhat Anima Anandkumar AI4CE 187 141 0 01 May 2020